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Localization of Multiple Leak Sources Using Acoustic Emission Sensors Based on MUSIC Algorithm and Wavelet Packet Analysis

Yan, Yong, Shen, Yang, Cui, Xiwang, Hu, Yonghui (2018) Localization of Multiple Leak Sources Using Acoustic Emission Sensors Based on MUSIC Algorithm and Wavelet Packet Analysis. IEEE Sensors Journal, 18 (23). pp. 9812-9820. ISSN 1530-437X. (doi:10.1109/JSEN.2018.2871720)

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Official URL
http://dx.doi.org/10.1109/JSEN.2018.2871720

Abstract

Multiple leak sources may occur in a large pressure

long period of time. Although a variety of leak localization

of locating only a single leak source. Methods for simultaneous

applications. To address this issue, a novel method using acoustic

Classification (MUSIC) algorithm and wavelet packet analysis is

sensors are assembled into a linear array to acquire signals from

analyzed in the frequency domain. Wavelet packet analysis is

frequency band of 50 kHz - 400 kHz. The MUSIC algorithm is

space spectrum function. Leak sources are located based on the

locations. The performance of the proposed method is evaluated

×100 cm×0.4 cm. The results demonstrate that the method is

accuracy depends on the leaking pressure. It is demonstrated that

which are 25.12 cm2 for leak hole 1 and 1.96 cm2 for leak hole 2.

Item Type: Article
DOI/Identification number: 10.1109/JSEN.2018.2871720
Uncontrolled keywords: Acoustic emission, localization, multiple leak sources, MUSIC, wavelet packet
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yong Yan
Date Deposited: 19 Sep 2018 15:11 UTC
Last Modified: 24 Sep 2019 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69153 (The current URI for this page, for reference purposes)
Yan, Yong: https://orcid.org/0000-0001-7135-5456
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